Patent application number | Description | Published |
20100201798 | DEPTH-AWARE BLUR KERNEL ESTIMATION METHOD FOR IRIS DEBLURRING - A method of estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. The first relationship is used to estimate a second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution. A position of an eye of a living being at a future point in time is predicted. A focus position of the camera lens is adjusted based upon the predicted position of the eye. The camera lens with the adjusted focus position is used to produce an image of the living being's eye at the point in time. An actual position of the living being's eye at the point in time is sensed. The first relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The calculating is based upon a difference between the adjusted focus position and the desired focus position of the lens. | 08-12-2010 |
20100202666 | TIME-OF-FLIGHT SENSOR-ASSISTED IRIS CAPTURE SYSTEM AND METHOD - A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being. | 08-12-2010 |
20100202667 | IRIS DEBLURRING METHOD BASED ON GLOBAL AND LOCAL IRIS IMAGE STATISTICS - A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being. | 08-12-2010 |
20100241431 | System and Method for Multi-Modal Input Synchronization and Disambiguation - Embodiments of a dialog system that utilizes a multi-modal input interface for recognizing user input in human-machine interaction (HMI) systems are described. Embodiments include a component that receives user input from a plurality of different user input mechanisms (multi-modal input) and performs certain synchronization and disambiguation processes. The multi-modal input components synchronizes and integrates the information obtained from different modalities, disambiguates the input, and recovers from any errors that might be produced with respect to any of the user inputs. Such a system effectively addresses any ambiguity associated with the user input and corrects for errors in the human-machine interaction. | 09-23-2010 |
20110050589 | GESTURE-BASED INFORMATION AND COMMAND ENTRY FOR MOTOR VEHICLE - A method of receiving input from a user includes providing a surface within reach of a hand of the user. A plurality of locations on the surface that are touched by the user are sensed. An alphanumeric character having a shape most similar to the plurality of touched locations on the surface is determined. The user is audibly or visually informed of the alphanumeric character and/or a word in which the alphanumeric character is included. Feedback is received from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step. | 03-03-2011 |
20110128365 | TIME-OF-FLIGHT SENSOR-ASSISTED IRIS CAPTURE SYSTEM AND METHOD - A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being. | 06-02-2011 |
20120027266 | TIME-OF-FLIGHT SENSOR-ASSISTED IRIS CAPTURE SYSTEM AND METHOD - A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being. | 02-02-2012 |
20130147937 | DEPTH-AWARE BLUR KERNEL ESTIMATION METHOD FOR IRIS DEBLURRING - Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation. | 06-13-2013 |
20130147977 | IRIS DEBLURRING METHOD BASED ON GLOBAL AND LOCAL IRIS IMAGE STATISTICS - A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being. | 06-13-2013 |